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Probabilistic Graphical Models with Neural Networks in InferPy.

, , , and . PGM, volume 138 of Proceedings of Machine Learning Research, page 601-604. PMLR, (2020)

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Effects of highly agreed documents in relevancy prediction., , and . SIGIR, page 883-884. ACM, (2007)Link-Based Text Classification Using Bayesian Networks., , , , and . INEX, volume 6203 of Lecture Notes in Computer Science, page 397-406. Springer, (2009)Learning from incomplete data in Bayesian networks with qualitative influences., , and . Int. J. Approx. Reason., (2016)Locally averaged Bayesian Dirichlet metrics for learning the structure and the parameters of Bayesian networks., , , and . Int. J. Approx. Reason., 54 (4): 526-540 (2013)InferPy: Probabilistic modeling with deep neural networks made easy., , , and . Neurocomputing, (2020)Learning with Bayesian networks and probability trees to approximate a joint distribution., , , and . ISDA, page 624-629. IEEE, (2011)A Semi-naive Bayes Classifier with Grouping of Cases., , , and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 477-488. Springer, (2007)Learning from i.i.d. data under model miss-specification.. CoRR, (2019)Split Criterions for Variable Selection Using Decision Trees., and . ECSQARU, volume 4724 of Lecture Notes in Computer Science, page 489-500. Springer, (2007)Virtual Subconcept Drift Detection in Discrete Data Using Probabilistic Graphical Models., , , , and . IPMU (3), volume 855 of Communications in Computer and Information Science, page 616-628. Springer, (2018)